OpenCV and Processing 5

Now we proceed to first core part of the tutorials, representation of image in Processing and OpenCV. In Processing, the class is PImage. Digital video, Movie and live webcam feed, Capture are also PImage. When we import the external image file from the data folder through loadImage(), the format will usually be RGB. The internal representation is, however, ARGB.
 
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OpenCV and Processing 3

This example will demonstrate the use of CvType, Size and Scalar.

CvType defines all the matrix types in OpenCV. It describes the number of channels, and depth information for each element (pixel) in the matrix. This example will use CV_8UC1 – 8 bits unsigned char, 1 channel. To communicate with Processing, we usually take CV_8UC4 for ARGB as the RGB format in PImage also uses 4 bytes for storage.
 
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OpenCV and Processing 1

This is the beginning of a series of posts related to using OpenCV and Processing in the Linux environment. I built the OpenCV 3.0.0 rc1 in Ubuntu. By putting the 2 files, libopencv_java300.so and opencv-300.jar in the code folder of a sketch, I can use the alpha version 3.0a7 of Processing and the official Java binding of OpenCV together to prepare for the examples of a newly proposed book in image processing and computer vision. I do not use the OpenCV for Processing library by Greg Borenstein, in order to reveal the underlying working mechanism of OpenCV for learning purpose.
 
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Processing Test with the PGraphics

To simplify the use of a dynamic mask with image, I try to use the PGraphics class as an off screen buffer to store the image for a subsequent mask operation. The foreground image is the live video input from the webcam. The mouse drag operation will draw a dynamic mask to reveal the webcam image. It makes use of the fact that the PGraphics class is a subclass of PImage. The mask function can directly take the PGraphics instance as input. Here is a sample screen shot.
 

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Processing Performance Test 1

I try to compare various methods to handle mainly image-based computer graphics in the Processing environment and publish the results for developers’ reference. The first one is a very straightforward test by comparing two ways to modify all pixels in a single PImage object instance.

The first way is nested loops for x and y dimensions and the second way is to traverse the whole pixels array in one linear loop.
 
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